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An Intelligent Algorithm for Modeling and Optimizing Dynamic Supply Chains Complexity

  • Khalid Al-Mutawah
  • Vincent Lee
  • Yen Cheung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

Traditional theories and principles on supply chains management (SCM) have implicitly assumed homogenous cultural environment characteristics across the entire supply chain (SC). In practice, however, such an assumption is too restrictive due to the dynamic and non-homogenous nature of organisational cultural attributes. By extending the evolutionary platform of cultural algorithms, we design an innovative multi-objective optimization model to test the null hypothesis – the SC’s performance is independent of its sub-chains cultural attributes. Simulation results suggest that the null hypothesis cannot be statistically accepted.

Keywords

Supply Chain Supply Chain Management Belief Degree Cultural Algorithm Supply Chain Configuration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Khalid Al-Mutawah
    • 1
  • Vincent Lee
    • 1
  • Yen Cheung
    • 1
  1. 1.Clayton School of Information TechnologyMonash University, ClaytonMelbourneAustralia

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